{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d270c62c",
   "metadata": {},
   "source": [
    "# 这里是目标检测的笔记\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa4952da",
   "metadata": {},
   "source": [
    "这里将要介绍的是基于滑动窗口的目标检测算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c986e06a",
   "metadata": {},
   "outputs": [],
   "source": [
    "<img src=\"./picture/目标检测.png\" alt=\"Drawing\" style=\"width: 500px;\" align=\"left\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "793f6296",
   "metadata": {},
   "source": [
    "这里讲述了滑动窗口应用于目标检测.\n",
    "\n",
    "首先,这个和卷积十分的类似,就是使用不同大小的窗口去遍历整个图片,然后把每一张图片都输入到卷积神经网络当中去\n",
    "这个样子用于检测这张图片中是否存在汽车,这个真的和卷积非常像啊.\n",
    "\n",
    "但是这个方法也有明显的缺点,那就是计算成本过于庞大,但是后面会讲到优化的算法."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b708d4cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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